Machine learning, particularly in the form of deep learning (DL), has driven most of the
recent fundamental developments in artificial intelligence (AI). DL is based on computational …

With the current research impetus on neuromorphic computing hardware, realizing efficient
drift and diffusive memristors are considered critical milestones for the implementation of …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

Oxygen vacancies play crucial roles in determining the physical properties of metal oxides,
representing important building blocks in many scientific and technological fields due to their …

The dramatic rise of data‐intensive workloads has revived application‐specific
computational hardware for continuing speed and power improvements, frequently achieved …

Neuromorphic computing has been gaining momentum for the past decades and has been
appointed as the replacer of the outworn technology in conventional computing systems …

Computation-in-memory using memristive devices is a promising approach to overcome the
performance limitations of conventional computing architectures introduced by the von …

The past decade has seen a growing trend toward utilizing (quasi) van der Waals growth for
the heterogeneous integration of various materials for advanced electronics. In this work …

True random number generator (TRNG) that cannot be arbitrary attacked with predictable
software algorithm is a promising data security solution. Memristors, possessing specific …

During the past decade, valence change memory (VCM) has been extensively studied due
to its promising features, such as a high endurance and fast switching times. The information …